Life360

Life360

Senior Director, Analytics and Data Science, Core Product & Growth

Remote, USA; Remote, Canada · Director

Sponsorship not specified$247k-$366kDetected 15 days ago
PythonSQLDatabricksMachine LearningData EngineeringData ScienceData VisualizationA/B TestingForecastingLeadershipMentoring

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • The Data & Analytics Team (DnA) is a 60+ person organization spanning data engineering, analytics engineering, analytics/decision science, and data science/ML.
  • The science teams are organized into two sub teams, focusing on MAU and Revenue.
  • You and your team will be responsible for understanding the drivers behind MAU: why members come, why they stay, and why they return.

Responsibilities

  • Lead and develop the decision scientists and data scientists on the team, and set the quality bar for both disciplines.
  • Own the MAU driver model and the forecast.
  • Own the exploratory work that drives the strategy to grow MAU.
  • Partner with your Revenue counterpart and Data Engineering leadership to define common metrics, align on experimentation standards, and introduce unified operating practices across teams.
  • Build the operating model that gets the team into the roadmap conversation early, with a view on what to build and what to test.
  • Deep expertise in inferential and causal analytics. Able to lead ML practitioners.
  • Our company's mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference
  • Members Before Metrics - We focus on building an exceptional experience for families.

Requirements

  • 10+ years in analytics, data science, or decision science, including 5+ years in people management in a senior leadership role.
  • Deep expertise in inferential and causal analytics.
  • Expert knowledge of engagement, retention, churn, and cohort metrics.
  • Experience forecasting a company-level metric and being held to it.
  • Experience with Databricks, third party experimentation tools (e.g. Statsig), Tableau or similar BI tools, and AI native BI tools (e.g. Hex, AI/BI).
  • Bachelor's degree or equivalent.
  • Required Experience & Qualifications

Nice to have

  • Master's degree or PhD with an emphasis in social science, psychology or other behavioral science.
  • Experience leading a team that reports to you but sits embedded with product and engineering teams.
  • Experience in a B2C subscription business.
  • Core Expectations
  • You have moved an analytics team from reactive to embedded.
  • On your teams, analysis starts from a hypothesis rather than a data request.
  • You have built the standards a team works from, and got people to use them.
  • You are curious about why people behave the way they do, not just what they did.

Compensation

  • For candidates based in the US, the salary range for this position is $247,000 to $366,000 USD.

Benefits

  • Medical, dental, vision, life and disability insurance plans (100% paid for US employees).
  • We offer life and disability as well as supplemental plans for medical and dental for Canadian employees.
  • Paid parental leave
  • Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
  • Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns
  • Learning & Development programs
  • Equipment, tools, and reimbursement support for a productive remote environment.

Company info

  • This role leads decision science and data science within MAU.
  • what gets delegated to agents, what gets automated, and what stays human judgment.
  • Our data is unusual for a consumer company.
  • What We're Looking For
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This listing is sourced directly from Life360's careers page and normalized into a canonical job model.